Onate at 09:39, 28 October 2019

2019-10-28T09:39:48Z

Cinmemj: Cinmemj moved page Draft Samper 483483693 to Recarey Morfa et al 2018a

2019-01-15T12:10:05Z

Cinmemj moved page Draft Samper 483483693 to Recarey Morfa et al 2018a

Cinmemj at 12:09, 15 January 2019

2019-01-15T12:09:46Z

Cinmemj: Created page with "==1 Title, abstract and keywords

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-Published in ''Computational Particle Mechanics'' Vol. 5 (2), pp. 213-226, 2018<br />
+Published in ''Computational Particle Mechanics'', Vol. 5 (2), pp. 213-226, 2018<br />
 doi: 10.1007/s40571-017-0164-5
 == Abstract ==
 The influence of the microstructural heterogeneities is an important topic in the study of materials. In the context of computational mechanics, it is therefore necessary to generate virtual materials that are statistically equivalent to the microstructure under study, and to connect that geometrical description to the different numerical methods. Herein, the authors present a procedure to model continuous solid polycrystalline materials, such as rocks and metals, preserving their representative statistical grain size distribution. The first phase of the procedure consists of segmenting an image of the material into adjacent polyhedral grains representing the individual crystals. This segmentation allows estimating the grain size distribution, which is used as the input for an advancing front sphere packing algorithm. Finally, Laguerre diagrams are calculated from the obtained sphere packings. The centers of the spheres give the centers of the Laguerre cells, and their radii determine the cells’ weights. The cell sizes in the obtained Laguerre diagrams have a distribution similar to that of the grains obtained from the image segmentation. That is why those diagrams are a convenient model of the original crystalline structure. The above-outlined procedure has been used to model real polycrystalline metallic materials. The main difference with previously existing methods lies in the use of a better particle packing algorithm.

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-==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
+Published in ''Computational Particle Mechanics'' Vol. 5 (2), pp. 213-226, 2018<br />
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+The influence of the microstructural heterogeneities is an important topic in the study of materials. In the context of computational mechanics, it is therefore necessary to generate virtual materials that are statistically equivalent to the microstructure under study, and to connect that geometrical description to the different numerical methods. Herein, the authors present a procedure to model continuous solid polycrystalline materials, such as rocks and metals, preserving their representative statistical grain size distribution. The first phase of the procedure consists of segmenting an image of the material into adjacent polyhedral grains representing the individual crystals. This segmentation allows estimating the grain size distribution, which is used as the input for an advancing front sphere packing algorithm. Finally, Laguerre diagrams are calculated from the obtained sphere packings. The centers of the spheres give the centers of the Laguerre cells, and their radii determine the cells’ weights. The cell sizes in the obtained Laguerre diagrams have a distribution similar to that of the grains obtained from the image segmentation. That is why those diagrams are a convenient model of the original crystalline structure. The above-outlined procedure has been used to model real polycrystalline metallic materials. The main difference with previously existing methods lies in the use of a better particle packing algorithm.
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← Older revision	Revision as of 12:10, 15 January 2019
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Recarey Morfa et al 2018a - Revision history

Onate at 09:39, 28 October 2019

Cinmemj: Cinmemj moved page Draft Samper 483483693 to Recarey Morfa et al 2018a

Cinmemj at 12:09, 15 January 2019

Cinmemj: Created page with "==1 Title, abstract and keywords